We are seeking an experienced and hands-on VP, Engineering Solutions Lead to drive the design and delivery of modern, cloud-native enterprise solutions. This role combines deep engineering expertise with solution design leadership, focusing on API-first architectures, microservices, cloud platforms, and AI-driven transformation initiatives.
The ideal candidate will possess strong system design capabilities, extensive experience building distributed applications, and a proven track record delivering enterprise-scale cloud and AI solutions. They will be responsible for defining technical solutions, establishing engineering standards, and guiding teams through successful implementation while remaining close to the code and technology decisions.
What we’ll offer you
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
Best in class leave policy
Gender neutral parental leaves
100% reimbursement under childcare assistance benefit (gender neutral)
Sponsorship for Industry relevant certifications and education
Employee Assistance Program for you and your family members
Comprehensive Hospitalization Insurance for you and your dependents
Accident and Term life Insurance
Complementary Health screening for 35 yrs. and above
Your key responsibilities
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Lead the design and development of scalable, secure, and resilient enterprise platforms and digital products.
Define end-to-end solution architecture for complex business problems, ensuring alignment with enterprise technology standards and strategic objectives.
Drive system design decisions across distributed systems, microservices, event-driven architectures, API ecosystems, and cloud-native platforms.
Design and review REST APIs, service contracts, integration patterns, and data models to ensure scalability, maintainability, and performance.
Architect cloud-native solutions leveraging modern public cloud platforms such as AWS, GCP, or Azure.
Lead cloud transformation and modernization initiatives, including application migration, containerization, Kubernetes adoption, and platform engineering practices.
Define AI solution architectures, including LLM integration, AI orchestration frameworks, RAG-based solutions, intelligent automation, and AI governance considerations.
Collaborate closely with business stakeholders, product managers, architects, and engineering teams to translate business requirements into robust technical solutions.
Provide technical leadership throughout the software lifecycle, from architecture and design through deployment and operational support.
Establish architecture best practices for security, observability, reliability, scalability, and cost optimization.
Mentor engineering teams on modern architectural patterns, cloud engineering, system design, and AI adoption.
Your skills and experience
12+ years of software engineering experience with strong expertise in designing and delivering large-scale enterprise applications.
Proven experience in solution architecture, system design, and building scalable distributed systems.
Deep understanding of microservices architecture, event-driven systems, API-first design, and integration patterns.
Strong experience designing and governing RESTful APIs for high-volume enterprise environments.
Hands-on experience with cloud platforms such as AWS, GCP, or Azure, including cloud-native architecture and deployment models.
Strong knowledge of Kubernetes, Docker, CI/CD pipelines, Infrastructure as Code, and modern DevOps practices.
Experience designing highly available, fault-tolerant, and performance-optimized systems.
Practical experience implementing AI and Generative AI solutions, including LLM integrations, RAG architectures, AI APIs, and intelligent automation use cases.
Strong understanding of data architecture, security, governance, and compliance considerations within cloud and AI ecosystems.
Proficiency in Java and/or Python with the ability to engage in technical design reviews and guide engineering teams.
Excellent stakeholder management and communication skills with the ability to influence technical strategy across multiple teams.
Experience in financial services, asset management, or regulated enterprise environments is highly desirable.
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
How we’ll support you
Training and development to help you excel in your career
Coaching and support from experts in your team
A culture of continuous learning to aid progression
A range of flexible benefits that you can tailor to suit your needs
About us and our teams
Please visit our company website for further information:
https://www.db.com/company/company.html
We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.
About DWS Group
Parent group profile
Deutsche Bank
Banking89879 employeesFounded 1870
Global banking and financial services organization.
